Use of artificial neural networks for determining optimum thread forming speeds for thread forming fasteners
Article publication date: 1 June 2005
Develops a neural network based system for optimum assembly speeds using thread‐forming fasteners.
Uses a three layer neural network to optimise thread forming speeds based on thread diameter and pitch and the total number of thread coils.
The method demonstrates savings in energy and reduction in torque values of 20‐30 per cent.
Provides a method that works even when less experimental data are available.
The method should provide a higher quality and reliability and allow thread‐forming fasteners to be used in new application areas.
Provides an efficient and less labour intensive method for insertion speed optimisation.
Chumakov, R.E. and Nauk, K. (2005), "Use of artificial neural networks for determining optimum thread forming speeds for thread forming fasteners", Assembly Automation, Vol. 25 No. 2, pp. 135-139. https://doi.org/10.1108/01445150510590497
Emerald Group Publishing Limited
Copyright © 2005, Emerald Group Publishing Limited